袁淦钊

所属研究所、院系: 
智能科学与技术研究所
职称: 
副研究员
E-mail: 
yuanganzh@mail.sysu.edu.cn
教师简介: 

袁淦钊,中山大学数据科学与计算机学院副研究员,"珠江科技新星"入选者。博士毕业于华南理工大学计算机学院;读博期间曾在新加坡南洋理工大学(NTU)和美国伊利诺伊大学新加坡高等数字科学中心(ADSC)进行研究助理工作;博士毕业后曾在华南理工大学数学学院和阿卜杜拉国王科技大学(KAUST)电子工程学院的进行博士后研究工作。他的研究领域主要包括优化算法及其在机器学习、机器视觉和数据挖掘中的应用。他曾在CCF A类期刊/会议上发表论文9篇(其中第一作者8篇),其中包括人工智能和数据挖掘领域顶级期刊/顶级会议ACM TODS, IEEE TPAMI, ICML, VLDB,  SIGKDD, CVPR, AAAI。他(曾)主持国家自然科学基金面上项目、珠江科技新星项目、中山大学青年教师培育基金、国家自然科学基金青年基金、中国博士后科学基金、华南理工大学中央高校面上基金、华南理工大学论文创新基金各一项。他是SIAM Journal on Imaging Sciences, Machine Learning, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cybernetics, Numerical Algorithms, Systems and Control Letters, NIPS, CVPR, SIGKDD, APWEB, BigCom, WAIM等优化算法和人工智能领域国际权威期刊/会议的审稿人。

研究领域: 

优化算法,机器学习,机器视觉,数据挖掘。

工作经历: 

1. 2008/09–2013/06,华南理工大学计算机应用技术,博士

2. 2011/11-2012/02,美国伊利诺伊大学厄巴纳香槟分校新加坡高等数字科学中心,研究助理

3. 2012/10-2013/03,新加坡南洋理工大学计算机工程学院,研究助理

4. 2013/11-2015/07,华南理工大学数学学院,博士后

5. 2015/08-2016/12,沙特阿拉伯阿卜杜拉国王科技大学电子工程学院,博士后

6. 2017/01-至今,      中山大学数据科学与计算机学院,副研究员

代表性论著: 

[1] Ganzhao Yuan, Haoxian Tan, Wei-Shi Zheng. A Coordinate-wise Optimization Algorithm for Sparse Inverse Covariance Selection. arXiv preprint, 2017. 

[2] Ganzhao Yuan, Li Shen, Wei-Shi Zheng. A Hybrid Method of Combinatorial Search and Gradient Descent for Discrete Optimization. arXiv preprint, 2017.

[3] Ganzhao Yuan, Bernard Ghanem. Binary Optimization via Mathematical Programming with Equilibrium Constraints. arXiv preprint, 2016.

[4] Ganzhao Yuan, Bernard Ghanem. Sparsity Constrained Minimization via Mathematical Programming with Equilibrium Constraints. arXiv preprint, 2016.

[5] Ganzhao Yuan, Bernard Ghanem. L0TV: A Sparse Optimization Method for Impulse Noise Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), To Appear. [CCF A] 

[6] Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma. GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. International Conference on Machine Learning (ICML), 2017. [CCF A]

[7]  Ganzhao Yuan, Wei-Shi Zheng, Bernard Ghanem. A Matrix Splitting Method for Composite Function Minimization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [CCF A]

[8] Ganzhao Yuan, Bernard Ghanem. An Exact Penalty Method for Binary Optimization Based on MPEC Formulation. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 2867-2875, 2017. [CCF A]

[9]  Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao. Convex Optimization for Linear Query Processing under Approximate Differential Privacy. ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 2005-2014, 2016. [CCF A]

[10] Ganzhao Yuan, Bernard Ghanem. A Proximal Alternating Direction Method for Semidefinite Rank Minimization. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 2300-2308, 2016. [CCF A]

[11]  Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao. Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. ACM Transactions on Database Systems (TODS), 40(2): 11:1-11:47, 2015. [CCF A]

[12]  Ganzhao Yuan, Bernard Ghanem. L0TV: A New Method for Image Restoration in the Presence of Impulse Noise. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5369-5377, 2015. [Oral, Acc. Rate = 71/2151 = 3.3%, CCF A]

[13]  Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao. Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. International Conference on Very Large Data Bases (VLDB), 5(11):1352-1363, 2012. [CCF A]

[14] Ganzhao Yuan, Zhenjie Zhang, Bernard Ghanem, Zhifeng Hao. Low-Rank Quadratic Semidefinite Programming. Neurocomputing, 106(0):51–60, 2013.

[15] Zhifeng Hao, Ganzhao Yuan, Xiaowei Yang, Zijie Chen. A Primal Method for Multiple Kernel Learning. Neural Computing and Applications 23(3-4):975-987, 2013.

[16]  Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem. BILGO: Bilateral Greedy Optimization for Large Scale Semidefinite Programming. Neurocomputing, 127(0):247–257, 2014.